Project Presentation

Xi on Data Simulation

• Challenges
• Celebrations
• Continued steps

Data Simulation

• Why?
  • Dataset on github is likely to be open to the public, per Daniel’s suggestion, we decided to simulate a dataset
• What?
  • Main variables:
    • Continuous measures of sleep quality, depression symptoms, quality of life indices
  • Covariates:
    • socioeconomic status, education, and ethnicity
• How?
  • Simstudy package

Data Simulation Challenges

• specify hidden correlations among the variables
  • Past error: Lower life quality was associated with higher sleep quality and depression?
• specify scale item ranges
  • Past error: Negative values for the items?

Data Simulation Celebrations

• specify hidden correlations among the variables

- mu: a vector of means
- sigma: standard deviation of variables
- cs: a compound symmetry structure

• specify scale item ranges
  • dt <- dt %>% filter(QL1 > 0 & QL3 > 0 & SQ2 > 0 & SQ4 > 0) %>% filter(MDD2 < 6)

Data Simulation Continued Steps

• utilize more effective functions

• clean up the script structure

Alexis!

• Github Issues
• First Data Visualization/Table
• Correlations
• Next Steps for Data Analysis

Github Issues

• Biggest Challenge - LOL
• Getting this photo on here was also a challenge

First Data Table and Visualization

• Mutate, Group By, Summarize

First Data Table and Visualization

• Changing Order of Labels

Data Visualization- Bar Graph

Correlations

Correlations

Next Steps

• Modeling using lm package

Pretty plots and pretty data!

• Data visualization
  • Series of scatterplots
• Tidying data
  • Gather, separate, and spread

Data Visualization - Scatterplot 1

Data Visualization - Scatterplot 2

Data Visualization - Scatterplot 3

Tidying data - Gather, separate, and spread

Plotting the tidy data